{"id":"W4414452267","doi":"","title":"DreamPet: Text Driven Controllable 3D Animal Generation using Gaussian Splatting","year":2025,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Consistency (knowledge bases); Rendering (computer graphics); Polygon mesh; Key (lock); 3d model; Gaussian","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762684,0.0009621828,0.0005767065,0.0005202844,0.0003077416,0.0009204895,0.001763275,0.001010558,0.01693106],"category_scores_gemma":[0.002058823,0.0004086406,0.0009289228,0.0003747776,0.0005941737,0.0008541343,0.001858033,0.0009621585,0.004983421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004504624,"about_ca_system_score_gemma":0.0004150969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451378,"about_ca_topic_score_gemma":0.003010982,"domain_scores_codex":[0.9996995,0.00004797534,0.00001198376,0.00007270588,0.0001421161,0.00002571969],"domain_scores_gemma":[0.9994605,0.000248323,0.00002933701,0.0001200485,0.00007934186,0.00006240949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006031488,0.0002659095,0.001315273,0.0006239892,0.0001198592,0.0007775408,0.0005955941,0.2006636,0.1528286,0.02096038,0.04083743,0.5804088],"study_design_scores_gemma":[0.00005733574,0.0001052452,0.0002790825,0.00001655639,0.00001231243,0.0002234038,0.00006129343,0.958251,0.02049592,0.008789372,0.01167748,0.00003092836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009515495,0.0001263081,0.9717188,0.000118863,0.0001082425,0.0001398509,0.0004099503,0.01408782,0.003774679],"genre_scores_gemma":[0.2322184,0.0002475762,0.7479131,0.0002966067,0.00006700234,0.0003521164,0.001884453,0.004984016,0.01203674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01693106,"threshold_uncertainty_score":0.05664003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647714949665022,"score_gpt":0.3013633904451738,"score_spread":0.2748862409485236,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}